This paper introduces the marching cube octree data structure, a new scheme for representing and generating the mesh of various level-of-details (LODs). The marching cube octree is based on the data structure of the Marching Cube algorithm [1 ], which is used to generate the mesh from the range data and the octree, this last widely used in computer graphics. Our LOD model can support adaptive s...

Analysts often explore data cubes to identify anomalous regions that may represent problem areas or new opportunities. Discovery-driven exploration (proposed by S.Sarawagi et al. [5]) automatically detects and marks the exceptions for the user and reduces the reliance on manual discovery. However, when the data is large, it is hard to materialize the whole cube due to the limitation of both spa...

abstract: this paper discusses two topics. at first, it uses continuous wavelet (morlet) transform, coherency, and phase angle analysis to study the effect of mean volatility in opec crude oil prices, wti crude oil prices, brent crude oil prices and iran’s crude oil prices on the iran’s reer. to this end, the monthly data of the variables for years 2003 to 2012 is used. coherency analysis revea...

The aim of the present study was to analyze the instruction of the Judo coach immediately before the competition, in the process of preparation for the fights, looking to (1) study the coherency between the information which the coach transmits and that which the athlete retains; (2) identify the correlation between the coherency, the extension and the number of ideas conveyed by the coach; (3)...

Data cube is the core operator in data warehousing and OLAP. Its efficient computation, maintenance, and utilization for query answering and advanced analysis have been the subjects of numerous studies. However, for many applications, the huge size of the data cube limits its applicability as a means for semantic exploration by the user. Recently, we have developed a systematic approach to achi...

Bluetooth is a wireless communication standard developed for personal area networks (PAN) that gained popularity in the last years. It was designed to connect a few devices together, however nowadays there is a need to build larger networks. Construction and maintenance algorithms have great effect on performance of the network. We present an algorithm based on Cube Connected Cycles (CCC) topol...

Abstract On-Line Analytical Processing (OLAP) is a trend in database technology based on the multidimensional view of data. Although multidimensional data cubes form the basic logical data model for OLAP applications, there seems to be no agreement on a common model for cubes. In this paper we propose, a logical model for cubes based on the key observation that a cube is not a self-existing ent...

Existing decision tree algorithms need to recursively partition dataset into subsets according to some splitting criteria. For large data sets, this requires multiple passes of original dataset and therefore is often infeasible in many applications. In this article we use statistics trees to compute the data cube and then build a decision tree on top of it. Mining on aggregated data will be muc...

The objective evaluation of 2D-shape estimation results for moving objects in a video sequence is still an open problem. First approaches in the literature evaluate the spatial accuracy and the temporal coherency of the estimated 2D object shape. Thereby, it is not distinguished between several estimation errors located around the object contour and a few, but larger, estimation errors. Both ca...